The yield of coffee has a significant effect on the development of the economy. It is important
to monitor the health status of coffee plants. Leaves can represent the growth of crops …

Tea trees are often vulnerable to diseases and insect pests in the process of growth,
resulting in the decline of tea production and quality. It is of great significance to identify and …

The development of convolutional neural networks (CNN) has brought a large number of
network parameters and huge model volumes, which greatly limites the application on …

Monitoring the wheat growth process by machine vision with artificial feature extraction
suffers from poor objectivity and low efficiency. To solve this problem, this paper introduces …

The rapid and effective identification of leaf diseases of woody fruit plants can help fruit
farmers prevent and cure diseases in time to improve fruit quality and minimize economic …

The emergence of deep learning has provided a new method for plant disease identification,
but the current deep learning models have many parameters, which are difficult to use on …

Due to its tasty and spicy fruit with nutritional qualities, chili is a demanding crop widely
farmed around the world. Hence, it is essential to accurately determine the health status of …

The application of deep learning image analysis technology detected crop diseases earlier
and non-destructively, but was limited by the computing resources of mobile terminal. The …

Crop disease is a major factor currently to jeopardize agricultural production activities. In
recent years, with the great success of deep learning technology in the field of image …

Leaf diseases in trees and plants are important factors that directly affect the yield of
agricultural products. This problem may cause a decrease in the production capacity and …